Computes the ISV scoring.

This algorithm is a legacy one. The API has changed since its implementation. New versions and forks will need to be updated.
This algorithm is splittable

Algorithms have at least one input and one output. All algorithm endpoints are organized in groups. Groups are used by the platform to indicate which inputs and outputs are synchronized together. The first group is automatically synchronized with the channel defined by the block in which the algorithm is deployed.

Group: probes

Endpoint Name Data Format Nature
probe_isv_offset system/array_1d_floats/1 Input
probe_statistics tutorial/gmm_statistics/1 Input
template_ids system/array_1d_uint64/1 Input
probe_id system/uint64/1 Input
probe_client_id system/uint64/1 Input
scores tutorial/probe_scores/1 Output

Group: templates

Endpoint Name Data Format Nature
template_client_id system/uint64/1 Input
template_id system/uint64/1 Input
template_model tutorial/isvmachine/1 Input

Unnamed group

Endpoint Name Data Format Nature
ubm tutorial/gmm/1 Input
isvbase tutorial/isvbase/1 Input

The code for this algorithm in Python
The ruler at 80 columns indicate suggested POSIX line breaks (for readability).
The editor will automatically enlarge to accomodate the entirety of your input
Use keyboard shortcuts for search/replace and faster editing. For example, use Ctrl-F (PC) or Cmd-F (Mac) to search through this box

Could not find any documentation for this object.
No experiments are using this algorithm.

This table shows the number of times this algorithm has been successfully run using the given environment. Note this does not provide sufficient information to evaluate if the algorithm will run when submitted to different conditions.

Terms of Service | Contact Information | BEAT platform version 1.3.1rc1 | © Idiap Research Institute - 2013-2019